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Knowledge Science, Engineering and Management : 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part III / edited by Gerard Memmi, Baijian Yang, Linghe Kong, Tianwei Zhang, Meikang Qiu.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence ; 13370
- Lecture Notes in Artificial Intelligence ; 13370
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computer engineering.
- Computer networks.
- Computers.
- Social sciences-Data processing.
- Artificial Intelligence.
- Computer Engineering and Networks.
- Computing Milieux.
- Computer Application in Social and Behavioral Sciences.
- Local Subjects:
- Artificial Intelligence.
- Computer Engineering and Networks.
- Computing Milieux.
- Computer Application in Social and Behavioral Sciences.
- Physical Description:
- 1 online resource (XVI, 753 pages) : 282 illustrations, 240 illustrations in color.
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2022.
- System Details:
- text file PDF
- Summary:
- The three-volume sets constitute the refereed proceedings of the 15th International Conference on Knowledge Science, Engineering and Management, KSEM 2022, held in Singapore, during August 6-8, 2022. The 169 full papers presented in these proceedings were carefully reviewed and selected from 498 submissions. The papers are organized in the following topical sections: Volume I: Knowledge Science with Learning and AI (KSLA) Volume II: Knowledge Engineering Research and Applications (KERA) Volume III: Knowledge Management with Optimization and Security (KMOS).
- Contents:
- Knowledge Management with Optimization and Security (KMOS)
- Study on Chinese Named Entity Recognition Based on Dynamic Fusion and Adversarial Training
- Spatial Semantic Learning for Travel Time Estimation
- A Fine-Grained Approach for Vulnerabilities Discovery using Augmented Vulnerability Signatures
- PPBR-FL: a Privacy-preserving and Byzantine-robust Federated Learning System
- GAN-Based Fusion Adversarial Training
- MAST-NER: A Low-Resource Named Entity Recognition Method based on Trigger Pool
- Fuzzy information measures feature selection using descriptive statistics data
- Prompt-Based Self-Training Framework for Few-Shot Named Entity Recognition
- Learning Advisor-Advisee Relationship from Multiplex Network Structure
- CorefDRE: Coref-aware Document-level Relation Extraction
- Single Pollutant Prediction Approach by Fusing MLSTM and CNN
- A Multi-objective Evolutionary Algorithm Based on Multi-layer Network Reduction for Community Detection
- Detection DDoS of attacks based on federated learning with Digital Twin Network
- A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-031-10989-8
- 9783031109898
- Access Restriction:
- Restricted for use by site license.
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